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<h3>Job Description</h3>
Job Description
 
JOB RESPONSIBILITIES:&nbsp;
Business Analytics (55%)
<ul>
<li>Work with a cross-functional team to define and clarify analytic requirements, develop analysis plans, and ensure data quality standards.</li>
<li>Analyzing usage, reliability, and hardware data for both Wi-Tronix and customer stakeholders.</li>
<li>Support customer engagements and product management with business analytics to develop, refine and validate financial ROI models.</li>
<li>Support cross-functional teams with data visualization.</li>
<li>Provide actionable insights and recommendations to assist in the creation of compelling presentations.</li>
</ul>
Reporting (30%)
<ul>
<li>SQL reporting;</li>
<li>Develop automated reporting to support dynamic dashboard content.</li>
<li>Transform, analyze, summarize, and proactively report to all stakeholders on website experience and customer utilization of the Wi-Tronix website based on the feature set and page hits.</li>
<li>Perform ad-hoc reporting and analysis as needed.</li>
</ul>
Data modeling (15 %)
<ul>
<li>Uses and physics-based models to extrapolate heuristic vehicle data.</li>
<li>Interfaces with data scientists and engineers for reasonableness checks on datasets used for model training.</li>
</ul>
REQUIREMENTS: 
<ul>
<li>Bachelor’s degree in Math, Industrial Engineering, or physics-related field and 5 years of experience with continuous improvement or similar experience in a manufacturing setting.&nbsp;</li>
<li>In the alternative, a Master’s degree in Math, Industrial Engineering, or a physics-related field and 2 years of experience with continuous improvement or similar experience in a manufacturing setting will also be considered. </li>
<li>SAFe certification required.&nbsp;</li>
</ul>
Skills gained through a minimum of 2 months experience and/or college-level coursework as evidenced by transcript and category:
<ul>
<li>PostgreSQL / SQL experience – executing complex projects, extracting, cleansing, and manipulating structured and unstructured data sets;</li>
<li>Use of enterprise visualization tools like Tableau;</li>
<li>Experience with data analysis and data wrangling;</li>
<li>Experience in data engineer responsibilities (labeling workflow management of image, video and other data);</li>
<li>Experience with data visualization;</li>
<li>Microsoft Office Suite skills with advanced Excel skills – pivot tables, macros, PowerPivots ;</li>
<li>Experience with python programming.</li>
<li>Safe certification&nbsp;</li>
</ul>
**Will accept suitable combination of education, training, &amp; experience to meet minimum requirements.
 
PHYSICAL DEMANDS AND WORKING CONDITIONS
<ul>
<li>Working conditions as found in a typical office location or remote office location.</li>
<li>Hybrid position-some telecommuting flexibility. Must be able to work from the Bolingbrook, IL office Tuesday through Thursday. May work remotely from home on Monday and Friday.</li>
</ul>
 
WHY WI-TRONIX?
<ul>
<li>Be part of a mission-driven company revolutionizing rail technology.</li>
<li>Work with cutting-edge tools and a passionate, collaborative team.</li>
<li>Enjoy a culture that values innovation, ownership, and making things happen.</li>
</ul>
 
This position's anticipated base salary is $106,858. Final compensation will be based on experience, qualifications, and location. Wi-Tronix is proud to be an Equal Opportunity, Affirmative Action, E-Verify, and Drug-Free Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. If you need reasonable accommodation for any part of the application process due to disability, please inform us at <a href="mailto:michele.hughes@wi-tronix.com" target="_blank">michele.hughes@wi-tronix.com</a> so that we can discuss the appropriate alternatives available. Wi-Tronix does not review unsolicited resumes from recruiters or search firms.

Data analyst

<h3>Job Description</h3>
Job Description
Data Analyst
Position: Data Analyst - Food Processing &amp; Supply Chain Operations
Location: 18531 S. Broadwick St. Rancho Dominguez, CA 90220
Reports To: Director, Continuous Improvement Programs
Role: On-Site, M-F, Rancho Dominguez, CA Plant
FLSA: Exempt, Salaried, FT
Wage Range: $95,000 to $105,000 yr (DOE)
Position Overview: Santa Monica Seafood is seeking a Data Analyst with strong analytical and technical expertise to support data-driven decision-making across all functions of our food processing operations. The ideal candidate will have hands-on experience with Aspen/Canopy ERP, Power BI, Advanced Excel, and a working knowledge of SQL, coupled with a solid understanding of how the departments within a business function from procurement to production to logistics, impact the supply chain. This role requires a creative, self-driven professional who can interpret complex datasets, develop actionable insights for end users, and partner with leadership to improve visibility, accuracy, and performance across the organization. Experience in managing or coordinating projects is beneficial but secondary to the core analytical responsibilities.
Key Responsibilities (other duties/responsibilities may be assigned):
Data Analytics &amp; Reporting
<ul>
<li>Extract, interpret, and validate data from company ERP systems and other operating systems to identify cost, yield, and operational efficiency trends.</li>
<li>Develop and maintain interactive dashboards and visual reports in Power BI and Excel to support daily operations and strategic decision-making.</li>
<li>Automate recurring reports to improve accuracy and reduce manual processes.</li>
<li>Monitor key metrics such as product inventory levels, aging inventory, waste and inbound/outbound logistics performance.</li>
<li>Use data storytelling to translate complex findings into clear, actionable insights for non-technical stakeholders</li>
<li>Be able to identify, validate and correlate data that is extracted from company systems, financial documents and similar datasets to enable members of the company executive team to optimize company operations, improve inter &amp; intra-departmental performances, and secure cost savings to build the financial health of SMS.</li>
</ul>
Operational Insight &amp; Cross-Functional Support
<ul>
<li>Partner with Operations, Procurement, QA, Logistics, Finance and other departments to understand data needs and ensure consistency across systems.</li>
<li>Help develop standard data definitions and reporting logic to align metrics across all divisions.</li>
<li>Support root-cause analysis of cost variances, production inefficiencies, and inventory discrepancies.</li>
<li>Surface opportunities to improve data capture and quality at every point in the supply chain.</li>
<li>Contribute to developing and maintaining KPI scorecards for executive visibility.</li>
</ul>
Light Project Management Support
<ul>
<li>Assist in planning and tracking analytical or system improvement projects.</li>
<li>Coordinate timelines, data requests, and deliverables with cross-functional teams.</li>
<li>Support implementation of process improvements identified through data analysis.</li>
<li>Plan, organize, execute, and communicate workstreams to convert ideas into tangible deliverables across a wide range of company initiatives.</li>
<li>Other duties assigned by management</li>
</ul>
Required Skills &amp; Qualifications:
<ul>
<li>Bachelor’s degree in business analytics, Supply Chain, Industrial Engineering or related field (or equivalent experience).</li>
<li>A minimum of 3–5 years of experience as a Data Analyst within a food processing, manufacturing, or distribution environment.</li>
<li>Strong proficiency ERP Systems (strong preferences in experience throughout Aspen/Canopy ERP, Power BI and advanced Excel (pivot tables, macros, power query, etc.)).</li>
<li>Light working knowledge of SQL for data extraction and validation.</li>
<li>Ability to structure large datasets into meaningful, actionable information.</li>
<li>Strong understanding of supply chain operations and interdepartmental data flow.</li>
<li>Exceptional attention to detail, organization and analytical reasoning.</li>
<li>Excellent communication and presentation skills for cross-departmental collaboration.</li>
</ul>
Preferred Attributes:
<ul>
<li>Exposure to Continuous Improvement (CI) or Lean environments.</li>
<li>Familiarity with data governance or ERP enhancement projects.</li>
<li>Experience building KPI dashboards or financial/operational scorecards.</li>
<li>Natural curiosity, adaptability, and drive to find better ways to visualize and use data.</li>
<li>A broad understanding of overall company functions and operations/supply chain.</li>
</ul>
PHYSICAL DEMANDS: The physical demands described are representative of those that must be met by an employee to successfully perform the essential functions of this job.
While performing the duties of this job, this position regularly requires you to sit for long periods of time. Ability to: occasionally lift, carry, and/or move up to 10 pounds; frequently lift, carry, and/or move up to 20 pounds; occasionally lift and/or move up to 30 pounds; go up and down stairs, use hands to finger, handle, or feel; reach with hands and arms; talk and hear. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
WORK ENVIRONMENTS: The work environment characteristics described are representative of those in these positions while performing the essential functions of this job.
The noise level in the work environment may be quiet to moderate, with surrounding areas that may be wet, cold, slippery, or humid.
About Santa Monica Seafood Company:
Santa Monica Seafood Company is a full-service fresh and frozen seafood processor and distributor in the South, Midwest, and Western United States.
We offer a competitive salary and comprehensive benefits including your choice of an HMO or PPO medical plan, DMO or D-PPO dental plan, company-paid vision, paid life insurance, supplemental life and AD&amp;D, 401K plan (Company match of $1.00 for every dollar deferred into the plan up to 4% of compensation), paid vacation, sick days, company-paid holidays, discounts at our market/cafe and wholesale pricing on seafood items from our headquarters
Santa Monica Seafood Company is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.
Company DescriptionPower the backbone of sustainable seafood distribution—join Santa Monica Seafood as our Data Analyst 
<h3>Company Description</h3>
Power the backbone of sustainable seafood distribution—join Santa Monica Seafood as our Data Analyst

Data Analyst

<h3>Job Description</h3>
Job DescriptionTitle: Data Analyst Location: Hybrid (3x a week onsite) in Pittsburgh, PA or Cleveland, OH Employment Type: W2 only Duration: 10-month contract with potential for extension or full-time conversion Overview: The Data Analyst will work closely with senior management, technical teams, and business stakeholders to gather and validate data requirements. This role supports enterprise data warehouse initiatives within the banking domain and involves implementing best practices for data manipulation, storage, and analysis.Key Responsibilities
<ul>
<li>Collaborate with cross-functional teams to gather and validate data requirements.</li>
<li>Design and document logical and physical database structures.</li>
<li>Develop, automate, and maintain large-scale ETL processes.</li>
<li>Modify existing databases or guide developers/analysts on required changes.</li>
<li>Test ETL jobs and database updates; identify and resolve defects.</li>
<li>Conduct data profiling and analysis to ensure data quality and readiness for reporting and modeling.</li>
<li>Apply best practices for scalable data manipulation and storage.</li>
</ul>
Required Skills
<ul>
<li>Experience with Teradata (development and/or administration)</li>
<li>Proficiency in Informatica (ETL design, mappings, workflows, scheduling)</li>
<li>Strong data analysis and data profiling capabilities</li>
<li>Familiarity with the full software development lifecycle (SDLC)</li>
<li>Ability to work both independently and collaboratively</li>
<li>Excellent attention to detail and organizational skills</li>
<li>Strong verbal and written communication skills</li>
</ul>
Preferred Skills
<ul>
<li>Experience in Enterprise Data Warehouse environments</li>
<li>Background in banking/financial services, especially CECL (Current Expected Credit Loss)</li>
<li>Familiarity with automation tools, scheduling systems, and data lineage/documentation practices</li>
</ul>
Education
<ul>
<li>Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field</li>
<li>Advanced degrees or certifications in Data Engineering, ETL Development, or Business Intelligence are a plus</li>
</ul>
#INDGEN #ZR

<h3>Job Description</h3>
Job DescriptionBe yourself at ProtolabsStudies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification.  We are an equal opportunity employer, and we are committed to building a diverse team that feels they are valued in the workplace.  So do you feel you do not meet every single requirement but still intrigued? We encourage you to still apply!  You can help make our company even better.  We do not discriminate based on race, color, national origin, sexual orientation, gender, age, mental or physical ability, or any way you represent yourself.  We strongly believe diversity makes for more successful teams.&nbsp;&nbsp;Why Protolabs?We are the leaders in digital manufacturing.&nbsp; We hire doers, makers, and creative thinkers who tackle our roles with an entrepreneurial spirit.&nbsp; Our culture is centered around meaningful work that brings new and innovative products to market at unprecedented speeds.&nbsp; We are a diverse team that comes from all walks of life and take pride in our team who is smart, genuine, humble, and passionate about what we do.&nbsp; It’s our people who fuel our creativity and make our culture feel like home.&nbsp; Join our team as a Data Analyst! This is a hybrid role being onsite in Maple Plain, MN on Tuesday, Wednesday, and Thursday. We’re looking for a curious, sharp, and proactive&nbsp;Data Analyst&nbsp;who speaks SQL as a native language, to join our growing team. In this role, you won’t just crunch numbers — you’ll partner closely with business stakeholders, uncover insights that shape strategy, enhancing data pipelines and help us make smarter, faster decisions across the company. You’ll work alongside experienced analysts and report into a team that values clarity, creativity, and impact over dashboards-for-dashboard’s-sake. If you're excited about turning messy data into meaningful action, and you want to grow in a role where your work is seen, heard, and used — we’d love to hear from you. Our Data / Analytics Tech Stack:&nbsp;Domo, SQL, DBT, Looker, Snowflake, Airbyte, Stitch, Python, Docker, MS SQL Servier, AWS: EC2, S3 etc.What you'll do:
<ul>
<li>Work on a wide range of different Analytical projects across different teams in the company</li>
<li>Enhance data pipelines with DBT and accelerate our Analytics Engineering team with the data foundations and making them accessible in Domo / Looker with a semantic layer.</li>
<li>Pro-actively dig into the data, solving business challenges using insights from our quantitative data sources</li>
<li>Empower other teams and its analyst ambassadors with the necessary tools so they understand and analyze their core metrics</li>
<li>Prioritize various data requests and perform analyses on key issues to help various teams at Protolabs</li>
<li>Setup, maintain and improve the dashboards that are used throughout the organization</li>
<li>Collaborating with different teams to ensure the quality and stability of the data used to feed core metrics</li>
<li>Be part and engage with a super fun International data / analytics team</li>
</ul>
What it takes:
<ul>
<li>2-5 years of experience in Data Analytics in a tech scale-up environment</li>
<li>Strong academic track record, preferably with a quantitative Masters degree</li>
<li>Skilled in at least SQL, Python is considered a plus</li>
<li>In depth experience with at least one BI Tool (Looker, Domo, Tableau, PowerBI, etc)</li>
<li>BONUS 1: Experience with CRM systems (Salesforce, Hubspot, Data Cloud etc.)</li>
<li>BONUS 2: Ambition / experience in advanced analytics to solve predictive modeling challenges</li>
</ul>
What's in it for you?
<ul>
<li>We offer a competitive salary and annual bonus opportunity</li>
<li>In addition, we offer amazing benefits including but not limited to:</li>
<li>Health Insurance: Traditional OR High Deductible plan</li>
<li>Flexible Spending Accounts</li>
<li>Health Savings Account (including employer contributions)</li>
<li>Dental and Vision</li>
<li>Basic and Supplemental Life Insurance</li>
<li>Short-Term and Long-Term Disability</li>
<li>Paid caregiver leave</li>
<li>You will receive 3 weeks of PTO, plus Holiday Pay and Volunteer Hours</li>
<li>401k with company match and immediate vest</li>
<li>Employee Stock Purchase Program at a 15% discounted rate</li>
<li>Matching grants through Protolabs foundation</li>
<li>And More!</li>
</ul>
Protolabs offers a competitive total rewards package, and compensation mix vary based on position, such as base wage, as well as other earnings including incentives and commissions. Actual pay offered will vary depending on multiple factors which may include, without limitation, job function, work experience, specialized skills, training, education, and certifications.&nbsp; Proto Labs maintains ITAR-compliant operations in all of our United States based facilities.&nbsp; Due to ITAR regulations, this role is only open to U.S. Citizens, lawful permanent residents (green card holders) or foreign nationals granted refugee or asylee status.&nbsp; Individuals with temporary visas (e.g. E, F-1, H-1, H-2, L, B, J, TN or OPT) are not eligible for hire in this role.&nbsp;Proto Labs, Inc. is an Equal Opportunity EmployerPhysical Demands: While performing the essential duties of this job, the employee is regularly required to sit; use a computer keyboard, monitor and mouse, telephone and printer; reach with hands, and arms, talk, see and hear.&nbsp; The employee is occasionally required to stand, walk, stoop or kneel and must occasionally lift and/or move up to 25 pounds.Work Environment: Indoors (A/C); nonsmoking; the majority of this job function is performed in an office setting requiring normal safety precautions. However, there may be job duties that require the employee to spend time in the manufacturing areas exposed to machinery and noise; eye protection occasionally required. Occasionally works in outside weather conditions. Occasionally works near moving mechanical parts and in high, precarious places and is occasionally exposed to wet and/or humid conditions, fumes or airborne particles, toxic or caustic chemicals, risk of electrical shock and vibration. The noise level in the work environment is usually quiet to moderate.&nbsp;

<h3>Job Description</h3>
Job Description
This role is responsible for executing periodical reporting and data gathering responsibilities including, but not limited to: Monitoring and processing the receipt of financials, including communication with members for missing and late reports, saving financials in appropriate repositories, facilitating extensions and waivers, and processing fines for late financials. Entering financial data accurately into AFRS (Automated Financial Reporting System) and tracking through approval and workflow closure. Overseeing the production and review of daily surveillance emails and tracking workflows to completion (negative news, missing reports, account changes, and other items pending action for completion). Daily review for items that need same-day action. Reconciling reporting and trackers to ensure reports are accurate and up to date. Other duties as assigned. Key Background and Skills: Knowledge of financial reporting components including Income Statements, Balance Sheets, etc. Knowledge of credit and financial statement analysis for various financial institutions. Proficiency in Microsoft Office applications (Outlook, Word, Excel, etc.). Effective communication skills. Self-starter with a high attention to detail.

<h3>Job Description</h3>
Job overview
We are looking for a detail-oriented and curious Data Analyst to support data-driven decision-making across departments. The ideal candidate is a quick learner with strong communication skills and a passion for transforming data into actionable insights.
 
General Responsibilities
• Analyze and interpret complex data sets to provide insights and recommendations.
 • Collaborate with cross-functional teams to identify data needs and opportunities.
 • Create dashboards and visualizations to effectively communicate findings.
 • Ensure data quality and consistency across various sources.
 • Support ad-hoc reporting and analytics requests.
 
Qualification
Must Have
<ul>
<li>Minimum of 1 year experience in supply chain or data analysis.</li>
<li>Bilingual in Chinese and English due to the internal and external stakeholders</li>
<li>Microsoft Excel (Formula, Pivot Table, Visualization)</li>
<li>Power BI / Tableau</li>
<li>Basic Statistics Knowledge</li>
<li>Cross-Functional Collaboration</li>
</ul>
Nice to Have
<ul>
<li>SQL</li>
<li>Python (Basic Analytics, Data Cleaning, Data Collection, Machine Learning)</li>
</ul>
 
Skills 
Must Have:
<ul>
<li>Attentive to Details</li>
<li>Continuous Learner</li>
<li>Quick Learner</li>
<li>Communication &amp; Storytelling</li>
<li>Patience</li>
</ul>

<h3>Job Description</h3>
Client: A renowned energy company based in Denver, CO. 
Job Title: Data Analyst
Location: 100% Remote in Denver, CO
 
Job Description: 
<ul>
<li>We are seeking a detail-oriented Data Analyst to support a Wildfire Mitigation Program by reviewing, maintaining, and analyzing GIS and database (Access) data. </li>
<li>The analyst will ensure data accuracy and completeness before submission to internal teams responsible for installing and maintaining field devices. </li>
<li>This role involves supporting new device installations, maintaining existing equipment, validating templates, and managing the Common Device Database.</li>
</ul>
Key Responsibilities
<ul>
<li>Review, validate, and maintain GIS and database (Access) data for accuracy and completeness.</li>
<li>Support installation and maintenance of field devices by verifying data and templates.</li>
<li>Collaborate with engineers, GIS specialists, project managers, and vendors to resolve data discrepancies.</li>
<li>Manage and maintain the Common Device Database.</li>
<li>Process data requests and ensure accurate submissions to downstream teams.</li>
<li>Identify opportunities for process improvements and enhanced data management.</li>
</ul>
Required Skills &amp; Qualifications
<ul>
<li>Strong background in GIS and mapping.</li>
<li>Experience with Access databases and SharePoint.</li>
<li>Proficient in Microsoft Office Suite (Excel, Access, SharePoint).</li>
<li>Effective data analysis and validation skills.</li>
<li>Strong communication and collaboration skills, with the ability to work independently in a remote setting.</li>
</ul>
Preferred Skills &amp; Qualifications
<ul>
<li>Familiarity with distribution management systems (DMS).</li>
<li>Knowledge of advanced database management, process automation, or integration improvements.</li>
<li>Experience in utilities or communications industries.</li>
</ul>
Experience &amp; Education
<ul>
<li>2–4 years of relevant experience preferred.</li>
<li>Background in GIS, mapping, or related data analysis fields.</li>
</ul>

<h3>Job Description</h3>
The Data Analyst Supply Chain will be responsible to extract, prepare, interpret, analyze and present the data needed by the Supply Chain department to decide about the replenishment and reordering activities to be executed.
 
Responsibilities
<ul>
<li>Provide the data analysis to the SCM team to support the decisions for all the store and inflight replenishment and fulfillment decisions</li>
<li>On predefined intervals:</li>
</ul>
 -Extract the needed data from the central systems
 -Validate and, if needed, sanitize and complete the data
 -Transform and format the data for easier analysis
 -Review the data to propose replenishment quantities for the stores and inflight operation, as well as reorder quantities from the vendors
 -Provide the findings and proposal to the SCM team members and other departments
 -Analyze the data to identify trends and present the findings to the SCM team members and the retail operations 
<ul>
<li>On a monthly basis prepare and present a set of SCM analysis:</li>
</ul>
 -Stock on hand and aging review
 -Vendor fulfillment analysis
 -Out of stock review 
 -Replenishment completion analysis
<ul>
<li>Execute other ad-hoc data analysis which are needed to support the retail operations and top management</li>
</ul>
 
Qualifications
 
<ul>
<li>Bachelor's degree in computer science, mathematics, business, supply chain or related field, preferred.</li>
<li>Extensive experience in analyzing complex data sets, preferably within the consumer goods and/or retail industry</li>
<li>Deep knowledge of Microsoft Excel and, if possible, Microsoft Power BI</li>
<li>Strong analytical capability, able to design, create and manage data repository needed to store and analyze the data </li>
<li>Experience with ERP systems (MS Dynamics AX preferred)</li>
<li>Capable to communicate with non technical team members about their business and translate their requirements into data sets and data analysis</li>
<li>Capable to maintain a professional and constructive relationship with all the stakeholders under any circumstance.</li>
<li>Strong English verbal and written communication skills.</li>
<li>Ability to sit the majority of the time, walking and standing occasionally.</li>
</ul>

<h3>Job Description</h3>
Title: Data Analyst - Actuarial Support
Reports To: VP, Actuary
Department: Actuary
Location/Schedule: Yardley, PA/Hybrid
Classification: Full-Time/Exempt
 
Who We Are:
Old Republic is a leading specialty insurer that operates diverse property &amp; casualty and title insurance companies. Founded in 1923 and a member of the Fortune 500, we are a leader in underwriting and risk management services for business partners across the United States and Canada. Our specialized operating companies are experts in their fields, enabling us to provide tailored solutions that set us apart.
 
Old Republic Specialty Insurance Underwriters (ORSIU) is part of Old Republic International Corporation. We offer insurance and reinsurance spanning most lines of business, and partner with specialists who are committed to providing the highest levels of service with the products necessary to meet the unique needs of the Alternative Risks, Specialty Programs and Excess Casualty marketplace.
 
Position Overview:
The Data Analyst will assist the actuarial department by gathering, analyzing, and interpreting relevant data sources in support of pricing, reserving, filing, reporting, and other business needs. Note that this role is not a part of the actuarial exam program.
 
Essential Job Functions:
<ul>
<li>Collaborate with cross functional teams to improve data and automate reports where appropriate.</li>
<li>Use analytics to spot trends, dependencies, and patterns.</li>
<li>Acquiring and compiling structured and unstructured data while verifying its quality, accuracy, and reasonableness.</li>
<li>Support actuarial department in responding to corporate/regulatory requests (state data calls, etc.), from determining requirements to data preparation to final exhibit creation.</li>
<li>Align with operations team as part of ongoing system development/enhancements while enhancing data availability within the organization.</li>
</ul>
 
Qualifications:
<ul>
<li>Degree in Business, Computer Science or another related field.</li>
<li>A minimum 2 years of P/C insurance experience is preferred.</li>
<li>Strong analytical and problem-solving skills as well as solid oral and written communication skills</li>
<li>Technical expertise in Microsoft Excel required; experience with Access, SQL, VBA, or other programming languages.</li>
</ul>
 
ORI is an Equal Opportunity Employer. ORI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
 
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

<h3>Job Description</h3>
Job Title: Senior Data Analyst (data governance)
Full time (8+ years)
Location:Princeton, New Jersey, Tampa Florida, Greenwich New York, Toronto,Canada
 
Job Summary
We are seeking a highly skilled Data Governance &amp; Metadata Specialist to support our enterprise data initiatives. The ideal candidate will have deep expertise in managing Critical Data Elements (CDEs), metadata, and data lineage, along with strong technical proficiency in Python, R, SQL, and data governance tools. This role requires a strategic thinker with hands-on experience in metadata management and a solid understanding of data governance frameworks and best practices.
 
Job Responsibility
Data Governance Leadership:
Lead and facilitate meetings with senior business stakeholders (executive team) and technical teams to define and implement data governance strategies.
Drive the development and implementation of data governance policies, standards, and procedures.
Champion data governance best practices and promote a data-driven culture within the organization.
 
Data Analysis:
Elicit, analyze, and document complex data governance requirements from business stakeholders at all levels, including the executive team.
Translate business needs (including CDE's) into clear and concise technical specifications for data governance solutions.
Create high-quality documentation, including meeting minutes, presentations, and reports for the executive team.
Conduct in-depth analysis of complex data to identify data quality issues, inconsistencies, and gaps.
Understanding of data quality controls and DQ dashboards and reports to monitor data governance metrics and provide insights to the executive team.
Create &amp; Perform data lineage analysis to understand data flow, dependencies, and potential impacts of data governance changes.
Develop a deep understanding of Critical Data Elements (CDEs), metadata management, and data lineage within the organization's data landscape.
Analyze data requirements for applications and reporting, ensuring alignment with data governance policies.
 
Communication and Collaboration:
Communicate effectively with technical and business stakeholders at all levels, including the executive team.
Build strong relationships with cross-functional teams, including data architects, engineers, and business users.
Present findings and recommendations to diverse audiences, tailoring communication style and content as needed.
 
Qualification
* Bachelor's degree in a related field (e.g., Information Systems, Business Analytics, Data Science).
 
* CDEs, Metadata Management, Data Lineage – Expert 
 
* Metadata &amp; Lineage Tools – Expert 
 
* Python (Pandas), R – Advanced 
 
* SQL – Expert 
 
* Data Governance Tools (e.g., Collibra, Alation) – Intermediate 
 
* Governance Principles &amp; Best Practices – Advanced 
 
* Monitoring Governance Metrics – Intermediate

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